Urban Traffic Flow Prediction Model with CPSO/SSVM Algorithm under the Edge Computing Framework
نویسندگان
چکیده
منابع مشابه
Research on Traffic Flow Mathematical Model in Urban Traffic
In this paper, we take the urban road network as the object, a further study on the method of traffic signal self organization under the condition of traffic state identification and local congestion. In the urban road traffic state identification study, according to the need of traffic signal control, respectively from qualitative and quantitative point of view, the urban road traffic state is...
متن کاملUrban Traffic Intersection Incident Prediction Using AI Algorithm
Automatic incident detection and characterization is urgently require in the development of advanced technologies used for reducing non-recurrent traffic congestion on urban traffic. This paper presents a new method using data mining to identify automatically freeway incidents. As a component of a real-time traffic adaptive control system for signal control, the algorithm feeds an incident repo...
متن کاملNeural Network Based Traffic Flow Model for Urban Arterial Travel Time Prediction
Many research efforts on travel time prediction focus predominantly on freeways, while limited work has been done on urban arterials. Among the latter, data driven models, particularly neural networks, have demonstrated promising performance. In most cases, the inputs from spatially separated sources (volumes/speeds collected by loop detectors from different locations) are combined in one singl...
متن کاملTraffic Flow Prediction Using Mi Algorithm and Considering Noisy and Data Loss Conditions: an Application to Minnesota Traffic Flow Prediction
Traffic flow forecasting is useful for controlling traffic flow, traffic lights, and travel times. This study uses a multilayer perceptron neural network and the mutual information (MI) technique to forecast traffic flow and compares the prediction results with conventional traffic flow forecasting methods. The MI method is used to calculate the interdependency of historical traffic data and fu...
متن کاملAdaptive Online Traffic Flow Prediction Using Aggregated Neuro Fuzzy Approach
Short term prediction of traffic flow is one of the most essential elements of all proactive traffic control systems. Although various methodologies have been applied to forecast traffic parameters, several researchers have showed that compared with the individual methods, hybrid methods provide more accurate results . These results made the hybrid tools and approaches a more common method for ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Wireless Communications and Mobile Computing
سال: 2020
ISSN: 1530-8669,1530-8677
DOI: 10.1155/2020/8871998